A tool to download specified image data from the Human Protein Atlas website using CSV file
Project description
Cell Maps ImmunoFluorescent Image Downloader
Downloads ImmunoFluorescent image data from Human Protein Atlas
Free software: MIT license
Documentation: https://cellmaps-imagedownloader.readthedocs.io.
Dependencies
Compatibility
Python 3.8+
Installation
pip install cellmaps_imagedownloader
Or directly from source:
git clone https://github.com/idekerlab/cellmaps_imagedownloader
cd cellmaps_imagedownloader
make dist
pip install dist/cellmaps_imagedownloader*whl
Run make command with no arguments to see other build/deploy options including creation of Docker image
make
Output:
clean remove all build, test, coverage and Python artifacts
clean-build remove build artifacts
clean-pyc remove Python file artifacts
clean-test remove test and coverage artifacts
lint check style with flake8
test run tests quickly with the default Python
test-all run tests on every Python version with tox
coverage check code coverage quickly with the default Python
docs generate Sphinx HTML documentation, including API docs
servedocs compile the docs watching for changes
testrelease package and upload a TEST release
release package and upload a release
dist builds source and wheel package
install install the package to the active Python's site-packages
dockerbuild build docker image and store in local repository
dockerpush push image to dockerhub
Needed files
samples file: CSV file with list of IF images to download (see sample samples file in examples folder)
unique file: CSV file of unique samples (see sample unique file in examples folder)
provenance: file containing provenance information about input files in JSON format (see sample provenance file in examples folder)
Usage
For information invoke cellmaps_imagedownloadercmd.py -h
Example usage
cellmaps_imagedownloadercmd.py ./cellmaps_imagedownloader_outdir --samples examples/samples.csv --unique examples/unique.csv --provenance examples/provenance.json
Via Docker
Example usage
Coming soon...
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2023-05-11)
First release on PyPI.
Project details
Release history Release notifications | RSS feed
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